Companies like Amazon take advantage of the fact that they know a whole lot more about buying patterns than you do. As author and entrepreneur Jerry Kaplan explains, this sort of information asymmetry is the real crux of their business plan. Jerry Kaplan's latest book is "Humans Need Not Apply: A Guide to Wealth and Work in the Age of Artificial Intelligence" (http://goo.gl/bSVV8K).
Read more at BigThink.com: http://bigthink.com/videos/jerry-kaplan-on-how-amazon-gets-your-money
FollowBigThink here:
YouTube: http://goo.gl/CPTsV5
Facebook: https://www.facebook.com/BigThinkdotcom
Twitter: https://twitter.com/bigthink
Transcript - If you’ve ever been online and if you haven’t I don’t know what you’re doing watching this video. You know that many websites are tracking and studying your behavior and in a way they help you by presenting products and information that they think that they believe based upon your browsing history and other characteristics are going to be of great interest to you. But there’s also a darker side to that activity. While that may add great convenience to you the truth is that that also permits them to look at questions like what do they estimate you’re willing to pay for that product? Now a lot of people think mistakenly that you’re supposed to charge the same price for a product to everybody. That’s not the case. You can’t discriminate based on certain criteria – race, religion, sexual preference. But it’s perfectly fine for me to charge this guy more than that guy because I think he’ll pay more and just look at airplane tickets as a perfect example of that sort of thing. Now here’s the problem. We’re taking those kinds of decisions in these websites. Amazon itself is a fantastic example of this and we’re incorporating very sophisticated machine run algorithms that are designed to manage the overall behavior of the group of people who are visiting that website.
In order to optimize profitability for the companies that are running those websites. And they will cut you the least slice of pie, small slice of pie that they can to get you to send you to do what they want you to do in order to maximize the profits of the corporation. Now you may have been on Amazon and you may put things in – I use what’s called a save for later or something in your cart. And you come back the next day and good news, you know, this book is three cents less or that’s two cents more or this is a dollar more. But there aren’t people doing that. This is a machine learning algorithm. And what it’s doing is analyzing time of day and the characteristics of what you bought in the past and how you’ve respond to different kinds of incentives. And where you came from and what kind of browser you’re using as a major factor. Anything it can in order to adjust the price to just the point where you’re going to buy at the highest possible price. You as an individual have freedom of choice. It’s a free country. Buy it. You cannot buy it. That’s great. But we as a group as a set of customers purchasing from Amazon or some other site we adhere to certain statistical properties. So as a group we don’t have that freedom because it can be managed by the entity on the other side. Whenever there’s an information asymmetry like that they know what you’re likely to buy by what your characteristics are and they can optimize the yield on site based upon that. They’re at an advantage over you. Amazon is a wonderful company but it is basically one giant machine learning algorithm. It is designed to do what’s called arbitrage. It knows what it can buy things for. It knows what it can sell things for. And it can adjust the profitability in that zone in order to maximize sales, in order to maximize profits.
And it can do so in a way that is far more efficient than has ever been possible in retailing before. So when I think of Amazon the fact that they’re selling goods is incidental. I think of it like a stock trading programs. Buy low, sell high. Buy here, sell there. There’s a spread. These really are arbitrage systems and you are the mechanism by which these companies maximize their profits.

The “best” price for a product or service is one that maximizes profits, not necessarily the price that sells the most units. This presentation uses real-world examples to explore how Excel’s Solver functionality can be used to calculate the optimal price for any product or service.
Downloadable slides are available from SlideShare at http://goo.gl/yGmGfq

There are two prices that are critical for any investor to know: the current price of the investment he or she owns, or plans to own, and its future selling price. Despite this, investors are constantly reviewing past pricing history and using it to influence their future investment decisions. Some investors won't buy a stock or index that has risen too sharply, because they assume that it's due for a correction, while other investors avoid a falling stock, because they fear that it will continue to deteriorate. http://www.garguniversity.com Check out Ebook "MindMath" from Dr. Garg
https://www.amazon.com/MIND-MATH-Learn-Math-Fun-ebook/dp/B017QEIF18

In this talk, Danny Yuan explains intuitively fast Fourier transformation and recurrent neural network. He explores how the concepts play critical roles in time series forecasting. Learn what the tools are, the key concepts associated with them, and why they are useful in time series forecasting.
Danny Yuan is a software engineer in Uber. He’s currently working on streaming systems for Uber’s marketplace platform.
This video was recorded at QCon.ai 2018: https://bit.ly/2piRtLl
For more awesome presentations on innovator and early adopter topics, check InfoQ’s selection of talks from conferences worldwide http://bit.ly/2tm9loz
Join a community of over 250 K senior developers by signing up for InfoQ’s weekly Newsletter: https://bit.ly/2wwKVzu

published:11 May 2018

views:23379

What is a Trading Algorithm? http://www.financial-spread-betting.com/ PLEASE LIKE AND SHARE THIS VIDEO SO WE CAN DO MORE! A trading algorithm is a kind of trading robot. A trading algorithm consists of lines of code. The algo makes a decision and executes trades automatically. The main reason people develop trading algos is to minimize market impact. As such its a robot that does decisions for you. This is not to be confused with high frequency trading which is something different.

In this video, we build an AppleStockPrediction script in 40 lines of Python using the scikit-learn library and plot the graph using the matplotlib library.
The challenge for this video is here:
https://github.com/llSourcell/predicting_stock_prices
Victor's winning recommender code:
https://github.com/ciurana2016/recommender_system_py
Kevin's runner-up code:
https://github.com/Krewn/learner/blob/master/FieldPredictor.py#L62
I created a Slack channel for us, sign up here:
https://wizards.herokuapp.com/
Stock prediction with Tensorflow:
https://nicholastsmith.wordpress.com/2016/04/20/stock-market-prediction-using-multi-layer-perceptrons-with-tensorflow/
Another great stock prediction tutorial:
http://eugenezhulenev.com/blog/2014/11/14/stock-price-prediction-with-big-data-and-machine-learning/
This guy made 500K doing ML stuff with stocks:
http://jspauld.com/post/35126549635/how-i-made-500k-with-machine-learning-and-hft
Please share this video, like, comment and subscribe! That's what keeps me going.
and please support me on Patreon!:
https://www.patreon.com/user?u=3191693
Check out this youtube channel for some more cool Python tutorials:
https://www.youtube.com/watch?v=RZF17FfRIIo
Follow me:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w

Publication history

The story was originally published in black and white in Eclipse Graphic Album Series #5 (1981). It was reprinted, with colorized artwork, in Dreadstar Annual #1 (Marvel Comics, 1983). The graphic novel was repackaged one more time, with the addition of a Vanth Dreadstar story from Epic Illustrated #18, by Slave Labor Graphics.

Synopsis

The story begins with a description of the Empirical Galaxy and the two cosmic superpowers that rule it: The Monarchy and the Instrumentality, who have been engaged in a galactic war for two hundred years. The Monarchy is a twelve-centuries old dynasty founded and maintained by a Royal family. The Church of the Instrumentality is devoted to "The Twelve Gods", whose leaders hold both spiritual and temporal authority over half the Galaxy. The priests of the Instrumentality are scholars and magicians. The church is corrupt, and its leaders devoted to power, both temporal and magical.

The Price (Prison Break)

Plot

Michael and Agent Self strike a deal with Gretchen Morgan, who wants Scylla for herself but holds the pages of the 'bird book' that Michael needs. Sara is reluctant about this, as she is constantly disturbed by memories of imprisonment and torture at the hands of Gretchen. Meanwhile, now without the copying device, the team targets General Krantz to obtain the sixth and final card key. Recalling a successful job from his criminal days, Lincoln devises a plan to ram the General's limousine with a car and take his card. Lincoln and Sucre are to drive the car, Michael, Sara, and Bellick are to arrive at the crash scene in an ambulance, disguised as paramedics, and Mahone is to follow in an SUV to pick up Link & Sucre after the crash. An old car is obtained, and the ambulance is stolen from an impound while Self creates a diversion.

Founded in 1926 by the Radio Corporation of America (RCA), NBC is the oldest major broadcast network in the United States. In 1986, control of NBC passed to General Electric (GE) – which previously owned RCA and NBC until 1930, when it was forced to sell the companies as a result of antitrust charges – through its $6.4 billion purchase of RCA. Following the acquisition by GE (which later liquidated RCA), Bob Wright served as chief executive officer of NBC, remaining in that position until his retirement in 2007, when he was succeeded by Jeff Zucker. In 2003, French media company Vivendi merged its entertainment assets with GE, forming NBCUniversal. Comcast purchased a controlling interest in the company in 2011, and acquired General Electric's remaining stake in 2013. Following the Comcast merger, Zucker left NBCUniversal and was replaced as CEO by Comcast executive Steve Burke.

How Amazon’s Algorithm Gets You to Spend Money

Companies like Amazon take advantage of the fact that they know a whole lot more about buying patterns than you do. As author and entrepreneur Jerry Kaplan explains, this sort of information asymmetry is the real crux of their business plan. Jerry Kaplan's latest book is "Humans Need Not Apply: A Guide to Wealth and Work in the Age of Artificial Intelligence" (http://goo.gl/bSVV8K).
Read more at BigThink.com: http://bigthink.com/videos/jerry-kaplan-on-how-amazon-gets-your-money
FollowBigThink here:
YouTube: http://goo.gl/CPTsV5
Facebook: https://www.facebook.com/BigThinkdotcom
Twitter: https://twitter.com/bigthink
Transcript - If you’ve ever been online and if you haven’t I don’t know what you’re doing watching this video. You know that many websites are tracking and studying your behavior and in a way they help you by presenting products and information that they think that they believe based upon your browsing history and other characteristics are going to be of great interest to you. But there’s also a darker side to that activity. While that may add great convenience to you the truth is that that also permits them to look at questions like what do they estimate you’re willing to pay for that product? Now a lot of people think mistakenly that you’re supposed to charge the same price for a product to everybody. That’s not the case. You can’t discriminate based on certain criteria – race, religion, sexual preference. But it’s perfectly fine for me to charge this guy more than that guy because I think he’ll pay more and just look at airplane tickets as a perfect example of that sort of thing. Now here’s the problem. We’re taking those kinds of decisions in these websites. Amazon itself is a fantastic example of this and we’re incorporating very sophisticated machine run algorithms that are designed to manage the overall behavior of the group of people who are visiting that website.
In order to optimize profitability for the companies that are running those websites. And they will cut you the least slice of pie, small slice of pie that they can to get you to send you to do what they want you to do in order to maximize the profits of the corporation. Now you may have been on Amazon and you may put things in – I use what’s called a save for later or something in your cart. And you come back the next day and good news, you know, this book is three cents less or that’s two cents more or this is a dollar more. But there aren’t people doing that. This is a machine learning algorithm. And what it’s doing is analyzing time of day and the characteristics of what you bought in the past and how you’ve respond to different kinds of incentives. And where you came from and what kind of browser you’re using as a major factor. Anything it can in order to adjust the price to just the point where you’re going to buy at the highest possible price. You as an individual have freedom of choice. It’s a free country. Buy it. You cannot buy it. That’s great. But we as a group as a set of customers purchasing from Amazon or some other site we adhere to certain statistical properties. So as a group we don’t have that freedom because it can be managed by the entity on the other side. Whenever there’s an information asymmetry like that they know what you’re likely to buy by what your characteristics are and they can optimize the yield on site based upon that. They’re at an advantage over you. Amazon is a wonderful company but it is basically one giant machine learning algorithm. It is designed to do what’s called arbitrage. It knows what it can buy things for. It knows what it can sell things for. And it can adjust the profitability in that zone in order to maximize sales, in order to maximize profits.
And it can do so in a way that is far more efficient than has ever been possible in retailing before. So when I think of Amazon the fact that they’re selling goods is incidental. I think of it like a stock trading programs. Buy low, sell high. Buy here, sell there. There’s a spread. These really are arbitrage systems and you are the mechanism by which these companies maximize their profits.

Pricing Analytics: Optimizing Price

The “best” price for a product or service is one that maximizes profits, not necessarily the price that sells the most units. This presentation uses real-world examples to explore how Excel’s Solver functionality can be used to calculate the optimal price for any product or service.
Downloadable slides are available from SlideShare at http://goo.gl/yGmGfq

Predicting Stock Price Mathematically

There are two prices that are critical for any investor to know: the current price of the investment he or she owns, or plans to own, and its future selling price. Despite this, investors are constantly reviewing past pricing history and using it to influence their future investment decisions. Some investors won't buy a stock or index that has risen too sharply, because they assume that it's due for a correction, while other investors avoid a falling stock, because they fear that it will continue to deteriorate. http://www.garguniversity.com Check out Ebook "MindMath" from Dr. Garg
https://www.amazon.com/MIND-MATH-Learn-Math-Fun-ebook/dp/B017QEIF18

Two Effective Algorithms for Time Series Forecasting

In this talk, Danny Yuan explains intuitively fast Fourier transformation and recurrent neural network. He explores how the concepts play critical roles in time series forecasting. Learn what the tools are, the key concepts associated with them, and why they are useful in time series forecasting.
Danny Yuan is a software engineer in Uber. He’s currently working on streaming systems for Uber’s marketplace platform.
This video was recorded at QCon.ai 2018: https://bit.ly/2piRtLl
For more awesome presentations on innovator and early adopter topics, check InfoQ’s selection of talks from conferences worldwide http://bit.ly/2tm9loz
Join a community of over 250 K senior developers by signing up for InfoQ’s weekly Newsletter: https://bit.ly/2wwKVzu

8:35

What is Algorithm Trading (Algo Trading)? ☝️

What is Algorithm Trading (Algo Trading)? ☝️

What is Algorithm Trading (Algo Trading)? ☝️

What is a Trading Algorithm? http://www.financial-spread-betting.com/ PLEASE LIKE AND SHARE THIS VIDEO SO WE CAN DO MORE! A trading algorithm is a kind of trading robot. A trading algorithm consists of lines of code. The algo makes a decision and executes trades automatically. The main reason people develop trading algos is to minimize market impact. As such its a robot that does decisions for you. This is not to be confused with high frequency trading which is something different.

13:56

Stanford University is building an Algorithm to predict Magic the Gathering PRICES

Stanford University is building an Algorithm to predict Magic the Gathering PRICES

Stanford University is building an Algorithm to predict Magic the Gathering PRICES

Predicting Stock Prices - Learn Python for Data Science #4

In this video, we build an AppleStockPrediction script in 40 lines of Python using the scikit-learn library and plot the graph using the matplotlib library.
The challenge for this video is here:
https://github.com/llSourcell/predicting_stock_prices
Victor's winning recommender code:
https://github.com/ciurana2016/recommender_system_py
Kevin's runner-up code:
https://github.com/Krewn/learner/blob/master/FieldPredictor.py#L62
I created a Slack channel for us, sign up here:
https://wizards.herokuapp.com/
Stock prediction with Tensorflow:
https://nicholastsmith.wordpress.com/2016/04/20/stock-market-prediction-using-multi-layer-perceptrons-with-tensorflow/
Another great stock prediction tutorial:
http://eugenezhulenev.com/blog/2014/11/14/stock-price-prediction-with-big-data-and-machine-learning/
This guy made 500K doing ML stuff with stocks:
http://jspauld.com/post/35126549635/how-i-made-500k-with-machine-learning-and-hft
Please share this video, like, comment and subscribe! That's what keeps me going.
and please support me on Patreon!:
https://www.patreon.com/user?u=3191693
Check out this youtube channel for some more cool Python tutorials:
https://www.youtube.com/watch?v=RZF17FfRIIo
Follow me:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w

Teikametrics Flywheel is a next-generation Retail OptimizationPlatform (ROP) specifically designed to help brands maximize performance and profitability of their AmazonAdvertising campaigns.
Our technology goes beyond "Ad Tech" and uses a multi-dimensional approach to help thousands of brands optimize for overall profitability.
Listen to our CTO, Aatish Salvi, explain how Flywheel uses data science with proprietary machine learning and econometrics algorithms to take into account conversions and pricing data to optimize advertising performance.
Take your Amazon Advertising to a new level of performance. Sign up to access Teikametrics Flywheel here: https://www.teikametrics.com/flywheel

The pricing of airline tickets might seem like a mystery but it’s actually an algorithm. Airline companies use a dynamic pricing algorithm that takes many factors into account, things like supply and demand and historical trends. That’s why your Thanksgiving flights will always cost and an arm and a leg.
» Subscribe to NBCNews: http://nbcnews.to/SubscribeToNBC
» Watch more NBC video: http://bit.ly/MoreNBCNews
NBC News is a leading source of global news and information. Here you will find clips from NBC Nightly News, Meet The Press, and our original series Debunker, Flashback, Nerdwatch, and Show Me. Subscribe to our channel for news stories, technology, politics, health, entertainment, science, business, and exclusive NBC investigations.
Connect with NBC News Online!
Visit NBCNews.Com: ...

published: 01 Dec 2016

How Amazon’s Algorithm Gets You to Spend Money

Companies like Amazon take advantage of the fact that they know a whole lot more about buying patterns than you do. As author and entrepreneur Jerry Kaplan explains, this sort of information asymmetry is the real crux of their business plan. Jerry Kaplan's latest book is "Humans Need Not Apply: A Guide to Wealth and Work in the Age of Artificial Intelligence" (http://goo.gl/bSVV8K).
Read more at BigThink.com: http://bigthink.com/videos/jerry-kaplan-on-how-amazon-gets-your-money
FollowBigThink here:
YouTube: http://goo.gl/CPTsV5
Facebook: https://www.facebook.com/BigThinkdotcom
Twitter: https://twitter.com/bigthink
Transcript - If you’ve ever been online and if you haven’t I don’t know what you’re doing watching this video. You know that many websites are tracking and studying your be...

Pricing Analytics: Optimizing Price

The “best” price for a product or service is one that maximizes profits, not necessarily the price that sells the most units. This presentation uses real-world examples to explore how Excel’s Solver functionality can be used to calculate the optimal price for any product or service.
Downloadable slides are available from SlideShare at http://goo.gl/yGmGfq

The pricing of airline tickets might seem like a mystery but it’s actually an algorithm. Airline companies use a dynamic pricing algorithm that takes many factors into account, things like supply and demand and historical trends. That’s why your holiday flights will always cost and an arm and a leg.
» Subscribe to NBCNews: http://nbcnews.to/SubscribeToNBC
» Watch more NBC video: http://bit.ly/MoreNBCNews
NBC News is a leading source of global news and information. Here you will find clips from NBC Nightly News, Meet The Press, and original digital videos. Subscribe to our channel for news stories, technology, politics, health, entertainment, science, business, and exclusive NBC investigations.
Connect with NBC News Online!
Visit NBCNews.Com: http://nbcnews.to/ReadNBC
Find NBC News on Fa...

published: 20 Nov 2017

Predicting Stock Price Mathematically

There are two prices that are critical for any investor to know: the current price of the investment he or she owns, or plans to own, and its future selling price. Despite this, investors are constantly reviewing past pricing history and using it to influence their future investment decisions. Some investors won't buy a stock or index that has risen too sharply, because they assume that it's due for a correction, while other investors avoid a falling stock, because they fear that it will continue to deteriorate. http://www.garguniversity.com Check out Ebook "MindMath" from Dr. Garg
https://www.amazon.com/MIND-MATH-Learn-Math-Fun-ebook/dp/B017QEIF18

Two Effective Algorithms for Time Series Forecasting

In this talk, Danny Yuan explains intuitively fast Fourier transformation and recurrent neural network. He explores how the concepts play critical roles in time series forecasting. Learn what the tools are, the key concepts associated with them, and why they are useful in time series forecasting.
Danny Yuan is a software engineer in Uber. He’s currently working on streaming systems for Uber’s marketplace platform.
This video was recorded at QCon.ai 2018: https://bit.ly/2piRtLl
For more awesome presentations on innovator and early adopter topics, check InfoQ’s selection of talks from conferences worldwide http://bit.ly/2tm9loz
Join a community of over 250 K senior developers by signing up for InfoQ’s weekly Newsletter: https://bit.ly/2wwKVzu

published: 11 May 2018

What is Algorithm Trading (Algo Trading)? ☝️

What is a Trading Algorithm? http://www.financial-spread-betting.com/ PLEASE LIKE AND SHARE THIS VIDEO SO WE CAN DO MORE! A trading algorithm is a kind of trading robot. A trading algorithm consists of lines of code. The algo makes a decision and executes trades automatically. The main reason people develop trading algos is to minimize market impact. As such its a robot that does decisions for you. This is not to be confused with high frequency trading which is something different.

published: 12 Oct 2017

Stanford University is building an Algorithm to predict Magic the Gathering PRICES

Predicting Stock Prices - Learn Python for Data Science #4

In this video, we build an AppleStockPrediction script in 40 lines of Python using the scikit-learn library and plot the graph using the matplotlib library.
The challenge for this video is here:
https://github.com/llSourcell/predicting_stock_prices
Victor's winning recommender code:
https://github.com/ciurana2016/recommender_system_py
Kevin's runner-up code:
https://github.com/Krewn/learner/blob/master/FieldPredictor.py#L62
I created a Slack channel for us, sign up here:
https://wizards.herokuapp.com/
Stock prediction with Tensorflow:
https://nicholastsmith.wordpress.com/2016/04/20/stock-market-prediction-using-multi-layer-perceptrons-with-tensorflow/
Another great stock prediction tutorial:
http://eugenezhulenev.com/blog/2014/11/14/stock-price-prediction-with-big-data-and-machine...

Teikametrics Flywheel is a next-generation Retail OptimizationPlatform (ROP) specifically designed to help brands maximize performance and profitability of their AmazonAdvertising campaigns.
Our technology goes beyond "Ad Tech" and uses a multi-dimensional approach to help thousands of brands optimize for overall profitability.
Listen to our CTO, Aatish Salvi, explain how Flywheel uses data science with proprietary machine learning and econometrics algorithms to take into account conversions and pricing data to optimize advertising performance.
Take your Amazon Advertising to a new level of performance. Sign up to access Teikametrics Flywheel here: https://www.teikametrics.com/flywheel

How Amazon’s Algorithm Gets You to Spend Money

Companies like Amazon take advantage of the fact that they know a whole lot more about buying patterns than you do. As author and entrepreneur Jerry Kaplan expl...

Companies like Amazon take advantage of the fact that they know a whole lot more about buying patterns than you do. As author and entrepreneur Jerry Kaplan explains, this sort of information asymmetry is the real crux of their business plan. Jerry Kaplan's latest book is "Humans Need Not Apply: A Guide to Wealth and Work in the Age of Artificial Intelligence" (http://goo.gl/bSVV8K).
Read more at BigThink.com: http://bigthink.com/videos/jerry-kaplan-on-how-amazon-gets-your-money
FollowBigThink here:
YouTube: http://goo.gl/CPTsV5
Facebook: https://www.facebook.com/BigThinkdotcom
Twitter: https://twitter.com/bigthink
Transcript - If you’ve ever been online and if you haven’t I don’t know what you’re doing watching this video. You know that many websites are tracking and studying your behavior and in a way they help you by presenting products and information that they think that they believe based upon your browsing history and other characteristics are going to be of great interest to you. But there’s also a darker side to that activity. While that may add great convenience to you the truth is that that also permits them to look at questions like what do they estimate you’re willing to pay for that product? Now a lot of people think mistakenly that you’re supposed to charge the same price for a product to everybody. That’s not the case. You can’t discriminate based on certain criteria – race, religion, sexual preference. But it’s perfectly fine for me to charge this guy more than that guy because I think he’ll pay more and just look at airplane tickets as a perfect example of that sort of thing. Now here’s the problem. We’re taking those kinds of decisions in these websites. Amazon itself is a fantastic example of this and we’re incorporating very sophisticated machine run algorithms that are designed to manage the overall behavior of the group of people who are visiting that website.
In order to optimize profitability for the companies that are running those websites. And they will cut you the least slice of pie, small slice of pie that they can to get you to send you to do what they want you to do in order to maximize the profits of the corporation. Now you may have been on Amazon and you may put things in – I use what’s called a save for later or something in your cart. And you come back the next day and good news, you know, this book is three cents less or that’s two cents more or this is a dollar more. But there aren’t people doing that. This is a machine learning algorithm. And what it’s doing is analyzing time of day and the characteristics of what you bought in the past and how you’ve respond to different kinds of incentives. And where you came from and what kind of browser you’re using as a major factor. Anything it can in order to adjust the price to just the point where you’re going to buy at the highest possible price. You as an individual have freedom of choice. It’s a free country. Buy it. You cannot buy it. That’s great. But we as a group as a set of customers purchasing from Amazon or some other site we adhere to certain statistical properties. So as a group we don’t have that freedom because it can be managed by the entity on the other side. Whenever there’s an information asymmetry like that they know what you’re likely to buy by what your characteristics are and they can optimize the yield on site based upon that. They’re at an advantage over you. Amazon is a wonderful company but it is basically one giant machine learning algorithm. It is designed to do what’s called arbitrage. It knows what it can buy things for. It knows what it can sell things for. And it can adjust the profitability in that zone in order to maximize sales, in order to maximize profits.
And it can do so in a way that is far more efficient than has ever been possible in retailing before. So when I think of Amazon the fact that they’re selling goods is incidental. I think of it like a stock trading programs. Buy low, sell high. Buy here, sell there. There’s a spread. These really are arbitrage systems and you are the mechanism by which these companies maximize their profits.

Companies like Amazon take advantage of the fact that they know a whole lot more about buying patterns than you do. As author and entrepreneur Jerry Kaplan explains, this sort of information asymmetry is the real crux of their business plan. Jerry Kaplan's latest book is "Humans Need Not Apply: A Guide to Wealth and Work in the Age of Artificial Intelligence" (http://goo.gl/bSVV8K).
Read more at BigThink.com: http://bigthink.com/videos/jerry-kaplan-on-how-amazon-gets-your-money
FollowBigThink here:
YouTube: http://goo.gl/CPTsV5
Facebook: https://www.facebook.com/BigThinkdotcom
Twitter: https://twitter.com/bigthink
Transcript - If you’ve ever been online and if you haven’t I don’t know what you’re doing watching this video. You know that many websites are tracking and studying your behavior and in a way they help you by presenting products and information that they think that they believe based upon your browsing history and other characteristics are going to be of great interest to you. But there’s also a darker side to that activity. While that may add great convenience to you the truth is that that also permits them to look at questions like what do they estimate you’re willing to pay for that product? Now a lot of people think mistakenly that you’re supposed to charge the same price for a product to everybody. That’s not the case. You can’t discriminate based on certain criteria – race, religion, sexual preference. But it’s perfectly fine for me to charge this guy more than that guy because I think he’ll pay more and just look at airplane tickets as a perfect example of that sort of thing. Now here’s the problem. We’re taking those kinds of decisions in these websites. Amazon itself is a fantastic example of this and we’re incorporating very sophisticated machine run algorithms that are designed to manage the overall behavior of the group of people who are visiting that website.
In order to optimize profitability for the companies that are running those websites. And they will cut you the least slice of pie, small slice of pie that they can to get you to send you to do what they want you to do in order to maximize the profits of the corporation. Now you may have been on Amazon and you may put things in – I use what’s called a save for later or something in your cart. And you come back the next day and good news, you know, this book is three cents less or that’s two cents more or this is a dollar more. But there aren’t people doing that. This is a machine learning algorithm. And what it’s doing is analyzing time of day and the characteristics of what you bought in the past and how you’ve respond to different kinds of incentives. And where you came from and what kind of browser you’re using as a major factor. Anything it can in order to adjust the price to just the point where you’re going to buy at the highest possible price. You as an individual have freedom of choice. It’s a free country. Buy it. You cannot buy it. That’s great. But we as a group as a set of customers purchasing from Amazon or some other site we adhere to certain statistical properties. So as a group we don’t have that freedom because it can be managed by the entity on the other side. Whenever there’s an information asymmetry like that they know what you’re likely to buy by what your characteristics are and they can optimize the yield on site based upon that. They’re at an advantage over you. Amazon is a wonderful company but it is basically one giant machine learning algorithm. It is designed to do what’s called arbitrage. It knows what it can buy things for. It knows what it can sell things for. And it can adjust the profitability in that zone in order to maximize sales, in order to maximize profits.
And it can do so in a way that is far more efficient than has ever been possible in retailing before. So when I think of Amazon the fact that they’re selling goods is incidental. I think of it like a stock trading programs. Buy low, sell high. Buy here, sell there. There’s a spread. These really are arbitrage systems and you are the mechanism by which these companies maximize their profits.

Pricing Analytics: Optimizing Price

The “best” price for a product or service is one that maximizes profits, not necessarily the price that sells the most units. This presentation uses real-world ...

The “best” price for a product or service is one that maximizes profits, not necessarily the price that sells the most units. This presentation uses real-world examples to explore how Excel’s Solver functionality can be used to calculate the optimal price for any product or service.
Downloadable slides are available from SlideShare at http://goo.gl/yGmGfq

The “best” price for a product or service is one that maximizes profits, not necessarily the price that sells the most units. This presentation uses real-world examples to explore how Excel’s Solver functionality can be used to calculate the optimal price for any product or service.
Downloadable slides are available from SlideShare at http://goo.gl/yGmGfq

Predicting Stock Price Mathematically

There are two prices that are critical for any investor to know: the current price of the investment he or she owns, or plans to own, and its future selling pri...

There are two prices that are critical for any investor to know: the current price of the investment he or she owns, or plans to own, and its future selling price. Despite this, investors are constantly reviewing past pricing history and using it to influence their future investment decisions. Some investors won't buy a stock or index that has risen too sharply, because they assume that it's due for a correction, while other investors avoid a falling stock, because they fear that it will continue to deteriorate. http://www.garguniversity.com Check out Ebook "MindMath" from Dr. Garg
https://www.amazon.com/MIND-MATH-Learn-Math-Fun-ebook/dp/B017QEIF18

There are two prices that are critical for any investor to know: the current price of the investment he or she owns, or plans to own, and its future selling price. Despite this, investors are constantly reviewing past pricing history and using it to influence their future investment decisions. Some investors won't buy a stock or index that has risen too sharply, because they assume that it's due for a correction, while other investors avoid a falling stock, because they fear that it will continue to deteriorate. http://www.garguniversity.com Check out Ebook "MindMath" from Dr. Garg
https://www.amazon.com/MIND-MATH-Learn-Math-Fun-ebook/dp/B017QEIF18

Two Effective Algorithms for Time Series Forecasting

In this talk, Danny Yuan explains intuitively fast Fourier transformation and recurrent neural network. He explores how the concepts play critical roles in time...

In this talk, Danny Yuan explains intuitively fast Fourier transformation and recurrent neural network. He explores how the concepts play critical roles in time series forecasting. Learn what the tools are, the key concepts associated with them, and why they are useful in time series forecasting.
Danny Yuan is a software engineer in Uber. He’s currently working on streaming systems for Uber’s marketplace platform.
This video was recorded at QCon.ai 2018: https://bit.ly/2piRtLl
For more awesome presentations on innovator and early adopter topics, check InfoQ’s selection of talks from conferences worldwide http://bit.ly/2tm9loz
Join a community of over 250 K senior developers by signing up for InfoQ’s weekly Newsletter: https://bit.ly/2wwKVzu

In this talk, Danny Yuan explains intuitively fast Fourier transformation and recurrent neural network. He explores how the concepts play critical roles in time series forecasting. Learn what the tools are, the key concepts associated with them, and why they are useful in time series forecasting.
Danny Yuan is a software engineer in Uber. He’s currently working on streaming systems for Uber’s marketplace platform.
This video was recorded at QCon.ai 2018: https://bit.ly/2piRtLl
For more awesome presentations on innovator and early adopter topics, check InfoQ’s selection of talks from conferences worldwide http://bit.ly/2tm9loz
Join a community of over 250 K senior developers by signing up for InfoQ’s weekly Newsletter: https://bit.ly/2wwKVzu

What is a Trading Algorithm? http://www.financial-spread-betting.com/ PLEASE LIKE AND SHARE THIS VIDEO SO WE CAN DO MORE! A trading algorithm is a kind of trading robot. A trading algorithm consists of lines of code. The algo makes a decision and executes trades automatically. The main reason people develop trading algos is to minimize market impact. As such its a robot that does decisions for you. This is not to be confused with high frequency trading which is something different.

What is a Trading Algorithm? http://www.financial-spread-betting.com/ PLEASE LIKE AND SHARE THIS VIDEO SO WE CAN DO MORE! A trading algorithm is a kind of trading robot. A trading algorithm consists of lines of code. The algo makes a decision and executes trades automatically. The main reason people develop trading algos is to minimize market impact. As such its a robot that does decisions for you. This is not to be confused with high frequency trading which is something different.

Predicting Stock Prices - Learn Python for Data Science #4

In this video, we build an AppleStockPrediction script in 40 lines of Python using the scikit-learn library and plot the graph using the matplotlib library.
...

In this video, we build an AppleStockPrediction script in 40 lines of Python using the scikit-learn library and plot the graph using the matplotlib library.
The challenge for this video is here:
https://github.com/llSourcell/predicting_stock_prices
Victor's winning recommender code:
https://github.com/ciurana2016/recommender_system_py
Kevin's runner-up code:
https://github.com/Krewn/learner/blob/master/FieldPredictor.py#L62
I created a Slack channel for us, sign up here:
https://wizards.herokuapp.com/
Stock prediction with Tensorflow:
https://nicholastsmith.wordpress.com/2016/04/20/stock-market-prediction-using-multi-layer-perceptrons-with-tensorflow/
Another great stock prediction tutorial:
http://eugenezhulenev.com/blog/2014/11/14/stock-price-prediction-with-big-data-and-machine-learning/
This guy made 500K doing ML stuff with stocks:
http://jspauld.com/post/35126549635/how-i-made-500k-with-machine-learning-and-hft
Please share this video, like, comment and subscribe! That's what keeps me going.
and please support me on Patreon!:
https://www.patreon.com/user?u=3191693
Check out this youtube channel for some more cool Python tutorials:
https://www.youtube.com/watch?v=RZF17FfRIIo
Follow me:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w

In this video, we build an AppleStockPrediction script in 40 lines of Python using the scikit-learn library and plot the graph using the matplotlib library.
The challenge for this video is here:
https://github.com/llSourcell/predicting_stock_prices
Victor's winning recommender code:
https://github.com/ciurana2016/recommender_system_py
Kevin's runner-up code:
https://github.com/Krewn/learner/blob/master/FieldPredictor.py#L62
I created a Slack channel for us, sign up here:
https://wizards.herokuapp.com/
Stock prediction with Tensorflow:
https://nicholastsmith.wordpress.com/2016/04/20/stock-market-prediction-using-multi-layer-perceptrons-with-tensorflow/
Another great stock prediction tutorial:
http://eugenezhulenev.com/blog/2014/11/14/stock-price-prediction-with-big-data-and-machine-learning/
This guy made 500K doing ML stuff with stocks:
http://jspauld.com/post/35126549635/how-i-made-500k-with-machine-learning-and-hft
Please share this video, like, comment and subscribe! That's what keeps me going.
and please support me on Patreon!:
https://www.patreon.com/user?u=3191693
Check out this youtube channel for some more cool Python tutorials:
https://www.youtube.com/watch?v=RZF17FfRIIo
Follow me:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w

Teikametrics Flywheel is a next-generation Retail OptimizationPlatform (ROP) specifically designed to help brands maximize performance and profitability of their AmazonAdvertising campaigns.
Our technology goes beyond "Ad Tech" and uses a multi-dimensional approach to help thousands of brands optimize for overall profitability.
Listen to our CTO, Aatish Salvi, explain how Flywheel uses data science with proprietary machine learning and econometrics algorithms to take into account conversions and pricing data to optimize advertising performance.
Take your Amazon Advertising to a new level of performance. Sign up to access Teikametrics Flywheel here: https://www.teikametrics.com/flywheel

Teikametrics Flywheel is a next-generation Retail OptimizationPlatform (ROP) specifically designed to help brands maximize performance and profitability of their AmazonAdvertising campaigns.
Our technology goes beyond "Ad Tech" and uses a multi-dimensional approach to help thousands of brands optimize for overall profitability.
Listen to our CTO, Aatish Salvi, explain how Flywheel uses data science with proprietary machine learning and econometrics algorithms to take into account conversions and pricing data to optimize advertising performance.
Take your Amazon Advertising to a new level of performance. Sign up to access Teikametrics Flywheel here: https://www.teikametrics.com/flywheel

How Amazon’s Algorithm Gets You to Spend Money

Companies like Amazon take advantage of the fact that they know a whole lot more about buying patterns than you do. As author and entrepreneur Jerry Kaplan explains, this sort of information asymmetry is the real crux of their business plan. Jerry Kaplan's latest book is "Humans Need Not Apply: A Guide to Wealth and Work in the Age of Artificial Intelligence" (http://goo.gl/bSVV8K).
Read more at BigThink.com: http://bigthink.com/videos/jerry-kaplan-on-how-amazon-gets-your-money
FollowBigThink here:
YouTube: http://goo.gl/CPTsV5
Facebook: https://www.facebook.com/BigThinkdotcom
Twitter: https://twitter.com/bigthink
Transcript - If you’ve ever been online and if you haven’t I don’t know what you’re doing watching this video. You know that many websites are tracking and studying your behavior and in a way they help you by presenting products and information that they think that they believe based upon your browsing history and other characteristics are going to be of great interest to you. But there’s also a darker side to that activity. While that may add great convenience to you the truth is that that also permits them to look at questions like what do they estimate you’re willing to pay for that product? Now a lot of people think mistakenly that you’re supposed to charge the same price for a product to everybody. That’s not the case. You can’t discriminate based on certain criteria – race, religion, sexual preference. But it’s perfectly fine for me to charge this guy more than that guy because I think he’ll pay more and just look at airplane tickets as a perfect example of that sort of thing. Now here’s the problem. We’re taking those kinds of decisions in these websites. Amazon itself is a fantastic example of this and we’re incorporating very sophisticated machine run algorithms that are designed to manage the overall behavior of the group of people who are visiting that website.
In order to optimize profitability for the companies that are running those websites. And they will cut you the least slice of pie, small slice of pie that they can to get you to send you to do what they want you to do in order to maximize the profits of the corporation. Now you may have been on Amazon and you may put things in – I use what’s called a save for later or something in your cart. And you come back the next day and good news, you know, this book is three cents less or that’s two cents more or this is a dollar more. But there aren’t people doing that. This is a machine learning algorithm. And what it’s doing is analyzing time of day and the characteristics of what you bought in the past and how you’ve respond to different kinds of incentives. And where you came from and what kind of browser you’re using as a major factor. Anything it can in order to adjust the price to just the point where you’re going to buy at the highest possible price. You as an individual have freedom of choice. It’s a free country. Buy it. You cannot buy it. That’s great. But we as a group as a set of customers purchasing from Amazon or some other site we adhere to certain statistical properties. So as a group we don’t have that freedom because it can be managed by the entity on the other side. Whenever there’s an information asymmetry like that they know what you’re likely to buy by what your characteristics are and they can optimize the yield on site based upon that. They’re at an advantage over you. Amazon is a wonderful company but it is basically one giant machine learning algorithm. It is designed to do what’s called arbitrage. It knows what it can buy things for. It knows what it can sell things for. And it can adjust the profitability in that zone in order to maximize sales, in order to maximize profits.
And it can do so in a way that is far more efficient than has ever been possible in retailing before. So when I think of Amazon the fact that they’re selling goods is incidental. I think of it like a stock trading programs. Buy low, sell high. Buy here, sell there. There’s a spread. These really are arbitrage systems and you are the mechanism by which these companies maximize their profits.

Pricing Analytics: Optimizing Price

The “best” price for a product or service is one that maximizes profits, not necessarily the price that sells the most units. This presentation uses real-world examples to explore how Excel’s Solver functionality can be used to calculate the optimal price for any product or service.
Downloadable slides are available from SlideShare at http://goo.gl/yGmGfq

Predicting Stock Price Mathematically

There are two prices that are critical for any investor to know: the current price of the investment he or she owns, or plans to own, and its future selling price. Despite this, investors are constantly reviewing past pricing history and using it to influence their future investment decisions. Some investors won't buy a stock or index that has risen too sharply, because they assume that it's due for a correction, while other investors avoid a falling stock, because they fear that it will continue to deteriorate. http://www.garguniversity.com Check out Ebook "MindMath" from Dr. Garg
https://www.amazon.com/MIND-MATH-Learn-Math-Fun-ebook/dp/B017QEIF18

Two Effective Algorithms for Time Series Forecasting

In this talk, Danny Yuan explains intuitively fast Fourier transformation and recurrent neural network. He explores how the concepts play critical roles in time series forecasting. Learn what the tools are, the key concepts associated with them, and why they are useful in time series forecasting.
Danny Yuan is a software engineer in Uber. He’s currently working on streaming systems for Uber’s marketplace platform.
This video was recorded at QCon.ai 2018: https://bit.ly/2piRtLl
For more awesome presentations on innovator and early adopter topics, check InfoQ’s selection of talks from conferences worldwide http://bit.ly/2tm9loz
Join a community of over 250 K senior developers by signing up for InfoQ’s weekly Newsletter: https://bit.ly/2wwKVzu

What is Algorithm Trading (Algo Trading)? ☝️

What is a Trading Algorithm? http://www.financial-spread-betting.com/ PLEASE LIKE AND SHARE THIS VIDEO SO WE CAN DO MORE! A trading algorithm is a kind of trading robot. A trading algorithm consists of lines of code. The algo makes a decision and executes trades automatically. The main reason people develop trading algos is to minimize market impact. As such its a robot that does decisions for you. This is not to be confused with high frequency trading which is something different.

Predicting Stock Prices - Learn Python for Data Science #4

In this video, we build an AppleStockPrediction script in 40 lines of Python using the scikit-learn library and plot the graph using the matplotlib library.
The challenge for this video is here:
https://github.com/llSourcell/predicting_stock_prices
Victor's winning recommender code:
https://github.com/ciurana2016/recommender_system_py
Kevin's runner-up code:
https://github.com/Krewn/learner/blob/master/FieldPredictor.py#L62
I created a Slack channel for us, sign up here:
https://wizards.herokuapp.com/
Stock prediction with Tensorflow:
https://nicholastsmith.wordpress.com/2016/04/20/stock-market-prediction-using-multi-layer-perceptrons-with-tensorflow/
Another great stock prediction tutorial:
http://eugenezhulenev.com/blog/2014/11/14/stock-price-prediction-with-big-data-and-machine-learning/
This guy made 500K doing ML stuff with stocks:
http://jspauld.com/post/35126549635/how-i-made-500k-with-machine-learning-and-hft
Please share this video, like, comment and subscribe! That's what keeps me going.
and please support me on Patreon!:
https://www.patreon.com/user?u=3191693
Check out this youtube channel for some more cool Python tutorials:
https://www.youtube.com/watch?v=RZF17FfRIIo
Follow me:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w

Teikametrics Flywheel is a next-generation Retail OptimizationPlatform (ROP) specifically designed to help brands maximize performance and profitability of their AmazonAdvertising campaigns.
Our technology goes beyond "Ad Tech" and uses a multi-dimensional approach to help thousands of brands optimize for overall profitability.
Listen to our CTO, Aatish Salvi, explain how Flywheel uses data science with proprietary machine learning and econometrics algorithms to take into account conversions and pricing data to optimize advertising performance.
Take your Amazon Advertising to a new level of performance. Sign up to access Teikametrics Flywheel here: https://www.teikametrics.com/flywheel

With complex algorithms running their booking systems, the airlines are constantly tweaking prices based on shifts in demand or available seats ... But improved technology has enabled airlines to change prices as often as they wish ... Check pricing often....

The threshold to ride free in one Los Angeles freeway’s toll lanes may be raised to five people in a car. The LA Metro board will vote Thursday on the proposed pilot program for the Interstate 10 express lanes ...Prices are figured using an algorithm that charges higher tolls when there’s more congestion and lower tolls with less congestion ... ....

^Why airline prices fluctuate and how to make it work to your advantage< ... With complex algorithms running their booking systems, the airlines are constantly tweaking prices based on shifts in demand or available seats. Airlines hold their pricing schemes closely, said George ......

4.4 Bellman Ford Algorithm - Single Source Shortes...

Teikametrics Flywheel: Price Aware Bidding Algorit...

Latest News for: price algorithm

With complex algorithms running their booking systems, the airlines are constantly tweaking prices based on shifts in demand or available seats ... But improved technology has enabled airlines to change prices as often as they wish ... Check pricing often....

The threshold to ride free in one Los Angeles freeway’s toll lanes may be raised to five people in a car. The LA Metro board will vote Thursday on the proposed pilot program for the Interstate 10 express lanes ...Prices are figured using an algorithm that charges higher tolls when there’s more congestion and lower tolls with less congestion ... ....

^Why airline prices fluctuate and how to make it work to your advantage< ... With complex algorithms running their booking systems, the airlines are constantly tweaking prices based on shifts in demand or available seats. Airlines hold their pricing schemes closely, said George ......

To reduce traffic, LA Metro has tried costly freeway lane additions, building more carpool lanes and converting HOV lanes into toll lanes ... On Thursday, Jan ... Of all the users, 65 percent are solo drivers ... New plan ... Prices are figured using an algorithm that charges higher tolls when there’s more congestion and lower tolls with less congestion ... ....

The FXTrading Corporation is a multi-national company that has investors from various parts of the world ... Why Sign Up? ... They have a sophisticated algorithm that takes out the guesswork from crypto trading. All trades are executed automatically with this algorithm ... They have an algorithm that will buy BTC when it is low and sell it when the price rises....

This mining spiral was triggered due to the fact that the coin was falling in price and mining activities were not profitable anymore ... So it, very relatively speaking, adapts slowly, which means it can compensate to price volatility a lot better than some of the quick adapting algorithms that try and track difficulty a lot more closer.”....

... entirely based on the price of Bitcoin plunging below the mining cost ... so it, very relatively speaking, adapts slowly, which means it can compensate to price volatility a lot better than some of the quick adapting algorithms that try and track difficulty a lot more closer”....

LAS VEGAS — Hello future, you are weird ... Not all of them make it to stores ... And talk about weird ... PriceTBD, available later this year ... But for the moment there aren’t any decent sources of 8K content, so the TVs are all taking lower-resolution stuff and using algorithms to make up the pixels in between ... Price TBD, many available starting in the spring....

So it’s a big decrease electric price...And one of the interesting things is when people -- the way they have these computer algorithms set up, if the price falls of the coin which happened basically instantaneously because an electric signal moves at the speed of light ... They got a 10% benefit on the price that was 30% lower....

"Congratulations to David and the research team at MarketAxess for creating the industry leading algorithmicpricing engine with H2O AI. With H2O's machine learning algorithms in Composite+, MarketAxess has fully automated corporate bond pricing with better predictions and features," said Sri Ambati, CEO and founder at H2O.ai....

Price...Price ... Price ... Price ... Price ... But what sets Trusted Tarot apart from other online tarot sites is the fact that the tarot deck is shuffled by hand and then uploaded onto the site instead of being generated by a computer algorithm. Price ... Price ... Price. Tarot is free, live reading prices start at $4.50+/minute (regularly $8.99+/minute) ... Price ... Price....

These features don’t make Exeter Finance a buy. Source. Prospectus. Source ... Source ... The company seems to be making extensive use of technology-enabled processes that permit modeling risk-adjusted pricing and predictive loss forecasting. With the use of these algorithms, the credit models permit dealers to obtain a credit decision within 30 seconds ... ....

The apparent disconnect between fundamentals and stock prices was confusing, troubling ...The Wall Street Journal reported that trend-following trading systems shifted "...from bullish to bearish to a degree not seen in a decade, according to an analysis of algorithms that buy or sell based on asset-price momentum."....